DESCRIPTION

• Produce high quality code
• Be a proactive member of a squad, adopting agile practices, offering subject matter expertise
• Perform computational analyses for a range of projects
• Implement software solutions for high-throughput sequencing data analysis and genome analysis and interpretation (long-read sequencing)
• Establish general bioinformatics resources for day-to-day use by colleagues
• Contribute to the team's continuous improvement efforts
• Ensure that they adhere to the various standards and accreditations required for both clinical laboratory practice and software delivery
• Work with the engineering chapter to ensure adherence to software engineering standards and best practices.
• Know and understand the meaning behind our virtues of Empathy, Integrity, Focus, Connection, Speed, Curiosity, Impact and embody them in all aspects of your role.

REQUIREMENTS

• Excellent Python coding skillset
• Solid skillset in Bioinformatics, understanding of the standards, data sources and tool chains used in NGS and clinical genomics
• Proficient in Linux, Git, Postgres (or similar RDBMs)
• Solid expertise of developing production quality algorithms and software to analyse large data sets
• A demonstrable ability to cope under pressure and deliver to deadlines
• Ability to communicate effectively within a multidisciplinary team
• Flexible and co-operative approach to colleagues
• Ability to work independently and to show initiative within a team
• Ability to prioritise and balance competing demands.
• Excellent technical writing skills.
• Experience working in agile environments and demonstrable effectiveness working in agile squads
• Experience in building code using CI/CD

• Experience in building code using DevOps practices
• Experience building microservices
• Experience in Django
• Experience of NoSQL databases such as HBASE, Solr/ElasticSearch
• Experience in genomic data analysis and visualisation

COMPENSATION

HOW TO APPLY